Scientific Data Mining

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Scientific Data Mining

Author	: Chandrika Kamath
Publisher	: SIAM
Total Pages	: 295
Release	: 2009-01-01
ISBN-10	: 9780898717693
ISBN-13	: 0898717698
Rating	: 4/5 (698 Downloads)

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Book Synopsis Scientific Data Mining by : Chandrika Kamath

Download or read book Scientific Data Mining written by Chandrika Kamath and published by SIAM. This book was released on 2009-01-01 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains.

Scientific Data Mining Related Books

Language: en
Pages: 295

Scientific Data Mining

Authors: Chandrika Kamath

Categories: Mathematics

Type: BOOK - Published: 2009-01-01 - Publisher: SIAM

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Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science

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Data Mining for Scientific and Engineering Applications

Authors: R.L. Grossman

Categories: Computers

Type: BOOK - Published: 2001-10-31 - Publisher: Springer Science & Business Media

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Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial ch

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Scientific Data Mining and Knowledge Discovery

Authors: Mohamed Medhat Gaber

Categories: Computers

Type: BOOK - Published: 2009-09-19 - Publisher: Springer Science & Business Media

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Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines th

Language: en
Pages: 392

Life Science Data Mining

Authors: Stephen T. C. Wong

Categories: Computers

Type: BOOK - Published: 2006 - Publisher: World Scientific Publishing Company

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This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous mul

Language: en
Pages: 779

Data Mining and Machine Learning

Authors: Mohammed J. Zaki

Categories: Business & Economics

Type: BOOK - Published: 2020-01-30 - Publisher: Cambridge University Press

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New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.